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Questions tagged [rank-1-matrices]

3 votes
2 answers
265 views

Given a fundamental $1$-form $$ g_{ij}= \delta_{ij} + \frac{\partial f}{\partial u_i}\frac{\partial f}{\partial u_j} $$ for $i, j = 1, 2,\dots, n$, the matrix of $[g]$ can be expressed as $$[g]=I_{n\...
Aurora Borealis's user avatar
0 votes
0 answers
57 views

I'm trying to understand how the Howell normal form of a $1\times n$ matrix over the ring $R=\mathbb{Z}/\mu\mathbb{Z}$ looks like. If I undertand correctly, the only elementary operation allowed in ...
Marco Ghirlanda's user avatar
1 vote
0 answers
55 views

I would like to know if anyone knows any reference about rank one update of Schur decomposition. Assume that we know the Schur decomposition of $A,$ which is $A=QUQ^{-1},$ where $Q$ is unitary and $U$ ...
Raidasam's user avatar
0 votes
0 answers
66 views

Singular value decomposition of a matrix $A$ of dimension $m \times n$ reads $A=U\Sigma V^+$. It can be seen as a way to decompose the matrix into a sum of rank-1 matrices: $$A=\sum_{i=1}^r \lambda_i ...
Thomas's user avatar
  • 4,238
1 vote
0 answers
54 views

I have a tall rank-$1$ matrix ${\bf Y} \in {\Bbb C}^{n \times m}$ (where $n > m$) whose singular value decomposition (SVD) is $$ {\bf Y} = \sigma_1 {\bf u} {\bf v}^\ast. $$ I add another $n \times ...
Dawson Beatty's user avatar
3 votes
1 answer
210 views

The problem starts from my considerations in the answer If $ A^2 + AB + B^2 = 2BA, $ prove that $ AB = BA = O_2$, where I applied the matrix determinant lemma. Evidently, for any invertible matrix $A$,...
Widawensen's user avatar
  • 8,537
1 vote
0 answers
69 views

I am interested in the eigenvalues of some square $n \times n$ matrix $A = B \circ ( u x^T)$, where $u = (1, 1, \ldots, 1)$ the vector of all ones, and $x$ and $B$ a random vector and random matrix ...
Johannes Nauta's user avatar
1 vote
0 answers
68 views

Let $\bf A$ be an invertible $m \times m$ real matrix. Is there any simplified expression for the following $m^2 \times m^2$ rank-$1$ matrix? $$\operatorname{vec}({\bf A}) \operatorname{vec}^\top \...
User1002546's user avatar
1 vote
0 answers
113 views

I am studying sparse partial least-squares (SPLS) regression, and I am interested in the mathematical foundations behind this method. The algorithm is proposed by Kim-Anh Lê Cao et al.$^\color{magenta}...
vidarid ril's user avatar
2 votes
2 answers
171 views

Let $M$ be an $m\times n$ matrix of rank $r$. I am interested to express $M$ as $C_1 + \ldots + C_r$ where each $C_i$ is a rank-1 matrix. How many $C_i$'s of rank-1 am I allowed to fix (if any) and ...
yia's user avatar
  • 178
3 votes
1 answer
231 views

Let $I$ be the identity matrix and $P$ be an irreducible $n$ by $n$ row stochastic matrix. Let $d$ be a stochastic (column) vector and $e$ be an all one (column) vector. Let $t > 0$ be a real ...
AlphaRL's user avatar
  • 175
1 vote
1 answer
104 views

Question: I need help to prove the following statement. Let $W_i:=w_iw_i^T\in\mathbb{R}^{n\times n}$, for $n$ even, be symmetric rank-1 matrices, $J=-J^T$ the canonical symplectic matrix and define ...
Ben94's user avatar
  • 142
1 vote
0 answers
33 views

Suppose the exact hessian $H^\star$ as function of vector x (no need to further be specified) and the initial SR-1 approximation $H$ are globally bounded in some norm of your choice by some real ...
user23311233's user avatar
0 votes
0 answers
67 views

For a fixed vector $\boldsymbol{v}\in\mathbb{R}^d$, I have the matrix $M=\boldsymbol{v}\boldsymbol{v}^\top$, from which I need to recover $\boldsymbol{v}$ (up to sign). I know that $\boldsymbol{v}$ is ...
ba029188's user avatar
0 votes
0 answers
201 views

Given a square matrix $\bf A$ and two vectors $\bf u$ and $\bf v$ such that ${\bf 1}^\top {\bf u} = 1$ and ${\bf v} = {\bf 1}$. Is there some relationship between the singular values of $\bf A$ and ...
user2299502's user avatar

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